Essays about: "Deep Learning"

Showing result 1 - 5 of 692 essays containing the words Deep Learning.

  1. 1. Resource Optimal Neural Networks for Safety-critical Real-time Systems

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Joakim Åkerström; [2020-07-10]
    Keywords : Data science; machine learning; deep learning; neural networks; network compression; network acceleration; safety-critical systems; real-time systems;

    Abstract : Deep neural networks consume an excessive amount of hardware resources, makingthem difficult to deploy to real-time systems. Previous work in the field of networkcompression lack the explicit hardware feedback necessary to control the resourceconstraints imposed by such systems. READ MORE

  2. 2. Text analysis for email multi label classification

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Kyriaki Paniskaki; Sanjit Harsha Kadam; [2020-07-08]
    Keywords : natural language processing; machine learning; multi label text classification; deep neural networks; bilingual texts; emails; short texts;

    Abstract : This master’s thesis studies a multi label text classification task on a small dataset of bilingual, English and Swedish, short texts (emails). Specifically, the size ofthe data set is 5800 emails and those emails are distributed among 107 classes withthe special case that the majority of the emails includes the two languages at thesame time. READ MORE

  3. 3. Benchmarking Deep Learning Testing Techniques A Methodology and Its Application

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Himanshu Chuphal; Kristiyan Dimitrov; [2020-07-06]
    Keywords : Deep Learning; DL; DL testing tools; testing; software engineering; design; benchmark; model; datasets; tasks; tools;

    Abstract : With the adoption of Deep Learning (DL) systems within the security and safetycriticaldomains, a variety of traditional testing techniques, novel techniques, andnew ideas are increasingly being adopted and implemented within DL testing tools.However, there is currently no benchmark method that can help practitioners tocompare the performance of the different DL testing tools. READ MORE

  4. 4. Deep Learning and the Heston Model:Calibration & Hedging

    University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Author : Oliver Klingberg Malmer; Victor Tisell; [2020-07-03]
    Keywords : deep learning; deep hedging; deep calibration; option pricing; stochastic volatilty; Heston model; S P 500 index options; incomplete markets; transaction costs;

    Abstract : The computational speedup of computers has been one of the de ning characteristicsof the 21st century. This has enabled very complex numerical methods for solving existingproblems. As a result, one area that has seen an extraordinary rise in popularity over the lastdecade is what is called deep learning. READ MORE

  5. 5. Implementation of a Deep Learning Inference Accelerator on the FPGA.

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Shenbagaraman Ramakrishnan; [2020]
    Keywords : Artificial Intelligence; Machine Learning; Deep Learning; Neural Networks; Deep Learning Accelerators; NVDLA; FPGA; Technology and Engineering;

    Abstract : Today, Artificial Intelligence is one of the most important technologies, ubiquitous in our daily lives. Deep Neural Networks (DNN's) have come up as state of art for various machine intelligence applications such as object detection, image classification, face recognition and performs myriad of activities with exceptional prediction accuracy. READ MORE